I am a Lecturer (Assistant Professor) in computing systems at Queen’s University Belfast. My current research efforts concentrates on advance design methods and architecture for MPSoC and FPGA accelerators. I am interested in both software and hardware development for embedded systems.

Research Directions

• Approximate Computing
• Reconfigurable Accelerators and Resilience
• Low Size, Weight and Power - Cost (SWaP-C) Embedded Systems
• Efficient & Trustworthy Artificial intelligence (AI)/Autonomous Systems (AS)

Openning Positions

Accepting PhD student all year round in topics of Approximate Computing:

• Efficient Reconfigurable Architecture
• AI-Assisted Design Automations

Please contact me through YUN dot WU at QUB dot AC dot UK for more details and keep eyes on PhD Opportunities at QUB with my name.

Two PhD project topics for October 2026 entry:

• ✨ Efficient Reconfigurable Accelerator for Autonomous Systems✨

• ✨ AI-Assisted Accelerator Design for FPGA technologies✨

Application Timeline:

–> Application starts (November 2025)

–> Application closed (16 February 2026)

–> Interview process (before 2nd March 2026)

–> Application outcome (April 2026)

Funding Opportunities (Cycling every year)

Opened around mid-November, closed by mid-January of the next year

国家建设高水平大学公派研究生项目

Queen’s University/CSC PhD Scholarships

Selcted Publications

1. AxRA: approximate Rowhammer attack for modern DRAM systems

2. Sharper Bounds for Proximal Gradient Algorithms with Errors

3. Joint Undervolting and Overclocking Power Scaling Approximation on FPGAs

4. Mixed Precision ℓ₁ Solver for Compressive Depth Reconstruction: An ADMM Case Study

5. Approximate LASSO Model Predictive Control for Resource-Constrained Systems

6. Architectural Synthesis of Multi-SIMD Dataflow Accelerators for FPGA

7. Runtime Support for Adaptive Power Capping on Heterogeneous SoCs